Decebal on programming

Today I have introduced a new section to each of the past ones: My Impressions inspired by Jim Kwik: Speed Reading, Memory, & Superlearning https://youtu.be/t9setjA0AT8?t=13m17s Capture Notes | Creating Notes Creating Notes => Questions that you would have, how would you be able to use it, how it relates to things you already know. Dare to DayDream! Classic Read Resource: https://youtu.be/qGl2XsuZHWY My one golden nugget: teaching can unlock the passion within instead of trying to rewrite everything from scratch while allowing for politics. [Read More]

Resources explored Getting Started with Weka - Machine Learning Recipes #10 Weka looks a tool to try, but I am not the biggest fan of it’s UI. I comes with datasets, pretty useful. other recipes from Google can be found in this playlist A Complete Machine Learning Project Walk-Through in Python: Part One awesome guide for this challenge equally awesome for beginners trying to find their steps into this i am looking forward to build on this process you have to look at the whole series: [Read More]

Resources explored For people whom need a little more structure I looked into some courses, here’s what I found so far: Practical Convolutional Neural Networks: The Course Overview | packtpub.com https://youtu.be/EgKQeuwmTEk Looks amazingly useful for beginners Love the examples Authors seem well versed on the subject TensorFlow 1.x Deep Learning Recipes for Artificial Intelligence App: Course Overview | packtpub.com https://youtu.be/RMILgtLeNVc Dives into Deep Learning and generally goes a step further that the previous course The recipes for TensorFlow are my personal favourite Driven Data Competitions [Read More]

Resources explored Streaming Project Requests This page is an amazing starting point for ideas on what to tackle next. Up for grabs - repositories in machine learning looking for contributors openly At the time of publishing there are only 3 such repositories “up for grabs”: Dive into Machine Learning - quite a big educational resource starting from beginner level EvalAI - part of https://cloudcv.org/ , has a nice collection of ongoing challenges at the moment. [Read More]

After last day I decided to continue researching for 15 days more, before diving into building a real-world app. I already have a list of rough app ideas, but I expect more ideas to come to surface when going through these amazing resources out there. Resources explored A Recap from TensorFlow Summit https://youtu.be/kV2by5VNBsA Speaker’s github profile contains a good quantity of workshops using TensorFlow, between them one Image Recognition workshop seems interesting to study. [Read More]

Resources explored on third day Top 8 open source AI technologies in machine learning The list of 8 libraries worth looking at before anything else: - TensorFlow - Keras - Scikit-learn - Microsoft Cognitive Toolkit - Theano - Caffe = Convolutional Architecture for Fast Feature Embedding - Torch - Accord.Net Machine Learning - a Github Collection A really good source of training data sets and classified algorithms to explore. [Read More]

Resources explored on second day Machine learning needs machine teaching > Machine teaching and machine learning are necessary complements to one another; you need both. And for the large part, most of what comprises machine teaching these days consists of giant label data sets. Common use cases for reinforcement learning: [..] tuning Machine Teaching is the new Programming How machine learning can be used to write more secure computer programs > As an example, when you find a vulnerability in code, the question that often arises is whether there are similar vulnerabilities still in that same program. [Read More]

First and foremost I felt I need to do this with a purpose, an end goal. I would love to be able to diagnose profanity from uploaded pictures at the end of this, but it feels somewhat limiting to start with this one so I decided to explore goals that I can set at the end of my first week into this within an industry or cause. Hopefully I will have some more clarity on how I can contribute towards bringing “The Rising Billion” (Reference from “Abundance”) closer to western living standards. [Read More]

In my learning journey, I have a habit of building a list of resources that I am about to study in order to extract something more specific into an ulterior blog article or in implementing a certain software feature. My end goal after going through the following resources is to have result in a blog post explaining what Redux Side Effects are about and how and when they can be used. [Read More]

Using gRPC as a replacement for GEARMAN communication between PHP and Python You might need or want to create a software architecture where everyone is welcome. If there is an open source project that solves a problem of your domain like crunching metrics or storing some metadata somewhere else like analytics, I am sure you are used to just call an API through a simple HTTP call. But when you want to deploy a service of your own, that is at the core of your domain you would definitely want to use something faster as execution, easier to maintain and simple. [Read More]